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Artificial Intelligence, Machine Learning, and Mental Health in
Pandemics: A Computational Approach provides a comprehensive guide
for public health authorities, researchers and health professionals
in psychological health. The book takes a unique approach by
exploring how Artificial Intelligence (AI) and Machine Learning
(ML) based solutions can assist with monitoring, detection and
intervention for mental health at an early stage. Chapters include
computational approaches, computational models, machine learning
based anxiety and depression detection and artificial intelligence
detection of mental health. With the increase in number of natural
disasters and the ongoing pandemic, people are experiencing
uncertainty, leading to fear, anxiety and depression, hence this is
a timely resource on the latest updates in the field.
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